{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["payment method", "damage amount", "price", "place", "victim", "tool"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "discoverer", "vulnerable system version", "capabilities", "vulnerable system owner", "vulnerable system", "vulnerability", "supported platform"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attacker", "damage amount", "number of data", "compromised data", "victim", "purpose", "time", "attack pattern", "tool"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "victim", "attack pattern", "damage amount", "place", "tool", "attacker", "time"]}], "input": "Phishing attacks , especially online phishing scams , are popular with criminals because there is no fool - proof technology to defend against them ."}
{"ransom": [], "discover vulnerability": [], "data breach": [], "phishing": [{"trigger": "Phishing attacks", "arguments": {}}]}